2020
DOI: 10.18502/ijph.v49i6.3361
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Exploring the Relationship between Service Quality of Private Hospitals and Patient Loyalty from the Perspective of Health Service

Abstract: Background: With increasing demands for medical treatment and healthcare, private hospitals have enjoyed rapid development, and the quality and satisfaction ratings of their medical services have gradually become hotspot issues. We aimed to investigate the influencing mechanisms of medical service quality, patient perceived value, patient satisfaction, and patient loyalty. Methods: On the basis of improved patient perceived value, service satisfaction, and loyalty scales, a questionnaire survey was condu… Show more

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Cited by 8 publications
(12 citation statements)
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“…Female patients have a lower perception of health than men. Also, they have lower satisfaction with health services than male patients (Guo, Zhou, Xing, & Li, 2020;Okunrintemi et al, 2018). This indicates that demographic factors should not be neglected as age and gender are related to patient conditions and influence their expectations and satisfaction.…”
Section: Introductionmentioning
confidence: 99%
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“…Female patients have a lower perception of health than men. Also, they have lower satisfaction with health services than male patients (Guo, Zhou, Xing, & Li, 2020;Okunrintemi et al, 2018). This indicates that demographic factors should not be neglected as age and gender are related to patient conditions and influence their expectations and satisfaction.…”
Section: Introductionmentioning
confidence: 99%
“…Quality care indicators are adopted from Donabedian (1988) and Andaleeb (2001) stating that quality consists of technical quality (clinical) and functional quality (non-clinical) (Abbasi-Moghaddam, Zarei, Bagherzadeh, Dargahi, & Farrokhi 2019;Camilleri & O'Calaghan, 1998;Johnson et al, 2016;Prakash & Srivastava, 2019). Secondly, age and gender as the moderating variable were tested on the path toward patient loyalty (Bener & Ghuloum, 2013;Guo et al, 2020;Okunrintemi et al, 2018;Walsh, Evanschitzky, & Wunderlich, 2008;Wang, Chen, Burström, & Burström, 2019). Thirdly, this paper employed the PLS predict calculation, the advanced method of PLS-SEM to assess the prediction power of the model.…”
Section: Introductionmentioning
confidence: 99%
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